AI-Enhanced Quality Assurance and Compliance Management in SAP S/4HANA & Salesforce: Innovations for Medical Devices and Regulated Industries
Artificial Intelligence is a revolutionary development in regulatory compliance management in medical devices, pharmaceuticals, financial services, and aerospace industries, and the key aspect is the incorporation of Artificial Intelligence in Quality Assurance procedures in enterprise platforms. AI-based QA automation shows significant increases in the efficiency of the validation cycle, besides improving compliance accuracy by automated test case generation, predictive compliance risk assessment, and self-healing test scripts. SAP S/4HANA and Salesforce applications with Natural Language Processing engines and Machine Learning algorithms will allow validating the Device History Records automatically, monitoring adverse events, and implementing cross-industry regulatory applications. An extensive AI regulatory architecture consists of regulatory knowledge graphs, smart test case generation engines, self-healing execution engines, and audit trail management systems. Implementation roadmaps at the strategic level that include pilot program development, scalable expansion, and sustainable operations give organizations clear-cut ways in which they can improve operational excellence without compromising standards of regulatory compliance and administrative overhead reduction through enterprise deployments.
Institutions
- Osmania University (IN)
Publication Details
- Journal
- Cognizance Journal of Multidisciplinary Studies
- Published
- 2025-10-13
- DOI
- https://doi.org/10.47760/cognizance.2025.v05i10.004
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00